Efficient resource management in data centers is of central importance to content service
providers as 90 percent of the network traffic is expected to go through them in the coming …

With the ever increasing number of large scale Internet applications, inter data center (inter-
DC) data transfers are becoming more and more common. Traditional inter-DC transfers …

We analyze workload traces from production data centers and focus on their VM usage
patterns of CPU, memory, disk, and network bandwidth. Burstiness is a clear characteristic of …

Network traffic analysis is a crucial technique for systematically operating a data center
network. Many network management functions rely on exact network traffic information …

This paper proposes the Discrete Wavelet Transform (DWT), Auto Regressive Integrated
Moving Averages (ARIMA) model and Recurrent Neural Network (RNN) based technique for …

Accurately predicting future service traffic would be of great help for load balancing and
resource allocation, which plays a key role in guaranteeing the quality of service (QoS) in …

Accurate prediction of data center resource utilization is required for capacity planning, job
scheduling, energy saving, workload placement, and load balancing to utilize the resources …

With the ever increasing number of large scale Internet applications, inter-data-center (inter-
DC) data transfers are becoming more and more common. Traditional inter-DC transfers …

The resource scaling has been influential in enabling the cloud service providers to
provision the resources on-demand effectively. The prior estimation of workloads helps in …

At-scale evaluation of new data center network innovations is becoming increasingly
intractable. This is true for testbeds, where few, if any, can afford a dedicated, full-scale …